Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Abstract The digitalization of clinical workflows and the increasing performance of deep learning algorithms are paving the way towards new methods for tackling cancer diagnosis. However, the availability of medical specialists to annotate digitized images and free-text diagnostic reports does not s...
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| Principais autores: | , , , , , , , , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-07-01
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| coleção: | npj Digital Medicine |
| Acesso em linha: | https://doi.org/10.1038/s41746-022-00635-4 |
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